Accepted for/Published in: JMIR Formative Research
Date Submitted: Oct 24, 2023
Date Accepted: Apr 3, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Concerns on Integrating Artificial Intelligence in Clinical Practice: A Survey of Chinese Oncologists' Perspectives
ABSTRACT
Background:
Background:
Artificial Intelligence (AI) has demonstrated potential in augmenting oncology care and has been deployed in Chinese hospitals.
Objective:
Objective：This study aims to investigate the concerns of Chinese oncologists regarding the integration of AI into clinical practice, and identifies the factors that shape these concerns.
Methods:
Methods:
A total of 228 Chinese oncologists participated in a cross-sectional online survey. The survey gauges their views and worries about AI. The data was analyzed using descriptive statistics, and both univariate and multivariate analyses were employed to find correlations between the oncologists' backgrounds and their concerns.
Results:
Results:
The study revealed the most prominent concerns to be the potential for AI to mislead diagnosis and treatment (71.49%), an over-reliance on AI (71.05%), data and algorithm bias (53.95%), issues with data security and patient privacy (53.95%), and a lag in the adaptation of laws, regulations, and policies in keeping up with AI's development (50.44%). Oncologists with a bachelor’s degree expressed heightened concerns related to data and algorithm bias (69.39%) and the lagging nature of legal, regulatory, and policy issues (65.31%), with p-values of 0.034 and 0.046 respectively. Opinions regarding the possibility of AI replacing doctors were diverse, with 23.25% strongly disagreeing, 14.04% disagreeing, 29.82% neutral, 16.23% agreeing, and 16.67% strongly agreeing. In terms of AI's potential impact on doctor-patient relationships, a majority (53.07%) believed it would be beneficial, but 9.21% speculated it could escalate disputes.
Conclusions:
Conclusions:
Addressing these concerns through the collaboration of stakeholders is key for responsible and effective AI integration in oncology. The benefits of AI must be balanced with ethics and human values. Educating doctors on AI's benefits and risks can build trust and ensure responsible use. Clinical Trial: N/A
Citation
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